This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.
The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions.
The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
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Zustand: New. Editor(s): Wang, Li; Shi, Yinghuan. Series: Lecture Notes in Computer Science. Num Pages: 338 pages, 127 black & white illustrations, biography. BIC Classification: UBH; UNF; UYQ; UYQP; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 522. . 2016. Paperback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9783319471563
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Taschenbuch. Zustand: Neu. Neuware -This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions.The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch. Artikel-Nr. 9783319471563
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging. Artikel-Nr. 9783319471563
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